Adaptive fuzzy wavelet algorithm for text-independent speaker recognition

摘要

In this letter, a two-stage approach based on adaptive fuzzy C-means and wavelet transform clustering is proposed for efficient feature extraction of speaker recognition. Besides, the investigation includes the development of objective function for minimizing under unsupervised mode of training. Experimental results show that the speaker recognition rate is 95%. (C) 2004 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.